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This book highlights selected papers from the 4th ICSA-Canada
Chapter Symposium, as well as invited articles from established
researchers in the areas of statistics and data science. It covers
a variety of topics, including methodology development in data
science, such as methodology in the analysis of high dimensional
data, feature screening in ultra-high dimensional data and natural
language ranking; statistical analysis challenges in sampling,
multivariate survival models and contaminated data, as well as
applications of statistical methods. With this book, readers can
make use of frontier research methods to tackle their problems in
research, education, training and consultation.
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